Share Email Print
cover

Journal of Biomedical Optics

Statistical comparison of Fourier transform infrared spectra
Author(s): Richard G. Spencer; Ericka F. Calton; Nancy P. Camacho
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Spectroscopic assessment of whether a biological sample has changed as a result of processing or degradation is generally carried out by qualitative comparison of spectra, without statistical analysis, resulting in a subjective evaluation of sample stability. Here, we present a formalism for quantitative statistical comparison of signal-averaged Fourier transform infrared spectra, commonly used to assess molecular properties of biological samples. Expressions are derived permitting the comparison of 1. single beam spectra; 2. transmittance spectra obtained by calculating the ratio of single beam spectra of a sample and background; and 3. absorbance spectra derived from transmittance spectra. An application of these results to the degradation of cartilage is presented. Two absorbance spectra of a cartilage sample taken in succession are found to be statistically identical with respect to the ratio of the amplitude of the amide I band to the amplitude of the amide II band. However, a spectrum of the same sample acquired after a 24-h degradation period, while similar to the spectrum of the fresh sample, is found to have an altered ratio of these spectral band amplitudes, consistent with degradation of the cartilage matrix

Paper Details

Date Published: 1 November 2006
PDF: 7 pages
J. Biomed. Opt. 11(6) 064023 doi: 10.1117/1.2393231
Published in: Journal of Biomedical Optics Volume 11, Issue 6
Show Author Affiliations
Richard G. Spencer, National Institutes of Health (United States)
Ericka F. Calton, Hospital for Special Surgery (United States)
Nancy P. Camacho, Hospital for Special Surgery (United States)


© SPIE. Terms of Use
Back to Top